When the new college opened in the next town – a somewhat larger town than ours – our folks began wondering if making the 30-minute drive to class would be worth it. Dud was the first to figure out ...

Graph Neural Networks (GNNs) have emerged as a dominant framework for semi-supervised learning on graph-structured data, achieving remarkable performance in tasks such as node classification through ...

ABSTRACT: Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, ...

In the dense affinity_matrix case, the current code sums axis=0 and then divides the rows by these sums. Other normalizations in semi_supervised use axis=1 (as this case should). This does not cause ...

Abstract: Semi-supervised learning (SSL) is gaining attention for its intrinsic ability to extract valuable information from labeled and unlabeled data with improved performance. Recently, consistency ...